Vehicle Trajectory Prediction and Cut-In Collision Warning Model in a Connected Vehicle Environment

Side collisions caused by sudden vehicle cut-ins comprise a significant proportion of traffic accidents. Due to the complex and dynamic nature of traffic environments, the warning algorithms in advanced driving assistant systems (ADAS) often misjudge and misdiagnose risk and omit necessary warnings,...

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Veröffentlicht in:	IEEE transactions on intelligent transportation systems Jg. 23; H. 2; S. 966 - 981
Hauptverfasser:	Lyu, Nengchao, Wen, Jiaqiang, Duan, Zhicheng, Wu, Chaozhong
Format:	Journal Article
Sprache:	Englisch
Veröffentlicht:	New York IEEE 01.02.2022 The Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Schlagworte:	Accidents Advanced driver assistance systems Alarm systems Algorithms Collision avoidance cut-in collisions Lane changing long-term and short-term memory networks Prediction models Predictive models Safety support vector machine Support vector machines Traffic accidents Trajectory Vehicle dynamics vehicle-to-vehicle communication Vehicles Warning
ISSN:	1524-9050, 1558-0016
Online-Zugang:	Volltext
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